Summary of the paper
| Title | GENIA-GR: a Grammatical Relation Corpus for Parser Evaluation in the Biomedical Domain |
|---|---|
| Authors | Yuka Tateisi, Yusuke Miyao, Kenji Sagae and Jun’ichi Tsujii |
| Abstract | We report the construction of a corpus for parser evaluation in the biomedical domain. A 50-abstract subset (492 sentences) of the GENIA corpus (Kim et al., 2003) is annotated with labeled head-dependent relations using the grammatical relations (GR) evaluation scheme (Carroll et al., 1998) ,which has been used for parser evaluation in the newswire domain. |
| Language | Single language |
| Topics | Corpus (creation, annotation, etc.), Evaluation methodologies, Parsing Systems |
Full paper |
GENIA-GR: a Grammatical Relation Corpus for Parser Evaluation in the Biomedical Domain |
Slides |
GENIA-GR: a Grammatical Relation Corpus for Parser Evaluation in the Biomedical Domain |
| Bibtex | @InProceedings{TATEISI08.496, author = {Yuka Tateisi, Yusuke Miyao, Kenji Sagae and Jun’ichi Tsujii}, title = {GENIA-GR: a Grammatical Relation Corpus for Parser Evaluation in the Biomedical Domain}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |